Search results for " generation."
showing 10 items of 1108 documents
Analysis of factors determining thermal changes at osteotomy site in dental implant placement - An in-vitro study
2021
Background Heat generation during osteotomy site preparation is a crucial factor that determines the success of dental implant placement. Among the factors that affect the heat generation, drilling speed, hand pressure and coolant temperature are independent variables. However, a relation between these three parameters and their optimal values required for the maximum outcome has not been studied so far. This study aims at finding out a relation between these factors in order to derive the optimum balance required, using an in vitro study. Material and methods This in vitro experiment was performed on bovine femur. A total of 72 drillings were undertaken with the aid of a physiodispenser mo…
THE “SALT-TASTING” NEWBORN
2021
Pseudohypoaldosteronism type 1 (PHA1) is a rare genetic disease due to the peripheral resistance to aldosterone. Clinical spectrum with neonatal onset includes salt loss, hyponatremia, hypochloraemia, hyperkalaemia, metabolic acidosis and increased plasmatic levels of aldosterone. Two forms of the disease - renal and systemic – have been described, which are genetically distinct and with wide clinical expressivity. The most severe generalized PHA1 is caused by mutations in the genes encoding for the subunits of the epithelial sodium channels (ENaC). The paper reports the case of a newborn of the first pregnancy of healthy and consanguineous Sicilian parents, with a clinical and hormonal pic…
Domain Generation Algorithm Detection Using Machine Learning Methods
2018
A botnet is a network of private computers infected with malicious software and controlled as a group without the knowledge of the owners. Botnets are used by cybercriminals for various malicious activities, such as stealing sensitive data, sending spam, launching Distributed Denial of Service (DDoS) attacks, etc. A Command and Control (C&C) server sends commands to the compromised hosts to execute those malicious activities. In order to avoid detection, recent botnets such as Conficker, Zeus, and Cryptolocker apply a technique called Domain-Fluxing or Domain Name Generation Algorithms (DGA), in which the infected bot periodically generates and tries to resolve a large number of pseudorando…
Study on the Effects of Pseudorandom Generation Quality on the Performance of Differential Evolution
2011
Experiences in the field of Monte Carlo methods indicate that the quality of a random number generator is exceedingly significant for obtaining good results. This result has not been demonstrated in the field of evolutionary optimization, and many practitioners of the field assume that the choice of the generator is superfluous and fail to document this aspect of their algorithm. In this paper, we demonstrate empirically that the requirement of high quality generator does not hold in the case of Differential Evolution.
Considerations on correlations in shift-register pseudorandom number generators and their removal
1997
Abstract We present a simple calculation quantitatively explaining the triplet correlations in the popular shift-register random number generator “R250”, which were recently observed numerically by Schmid and Wilding, and are known from general analysis of this type of generator. Starting from these considerations, we discuss various methods to remove these correlations by combining different shift-register generators. We implement and test a particularly simple and fast version, based on an XOR combination of two independent shift-register generators with different time lags. The results indicate that this generator has much better statistical properties than R250, while being only a facto…
On the Influence of PRNGs on Data Distribution
2012
The amount of digital information produced grows rapidly and constantly. Storage systems use clustered architectures designed to store and process this information efficiently. Their use introduces new challenges in storage systems development, like load-balancing and data distribution. A variety of randomized solutions handling data placement issues have been proposed and utilized. However, to the best of our knowledge, there has not yet been a structured analysis of the influence of pseudo random number generators (PRNGs) on the data distribution. In the first part of this paper we consider Consistent Hashing [1] as a combination of two consecutive phases: distribution of bins and distrib…
The da Vinci Xi Robotic Four-Arm Approach for Robotic-Assisted Minimally Invasive Esophagectomy
2018
AbstractRobotic surgery is gaining importance in complex thoracoscopic surgery, such as robotic-assisted minimally invasive esophagectomy (RAMIE). The RAMIE procedure was designed using the first generation of the robotic system. The latest da Vinci Xi system has substantially increased the dexterity, especially designed for multiquadrant surgery. The original three-arm RAMIE approach was modified including the robotic four-arm use for the thoracoscopic and laparoscopic part of the operation. This extended approach (four-arm RAMIE approach) provides more flexibility and raises the independence of the surgeon.
Load match and grid interaction optimization of a net zero energy building through electricity storage: An Italian case-study
2016
The study aims at applying of Load Match and Grid Interaction indexes to a Net Zero Energy Building in order to optimize the performances of its energy systems. The case study is a modular prefabricated house that uses solar energy (photovoltaic) and natural gas (Fuel Cell) as energy sources and equipped with an Energy Management System addressing the optimal energy use.
Techno-economic analysis of off-grid hybrid renewable energy system for Sri Lanka
2014
Off grid hybrid renewable energy based power systems for rural electrification has become an attractive solution for areas where grid electricity is not feasible. Hybrid systems use several generation technologies, therefore the selection of proper technologies and optimum sizing of the components has become of great importance in reducing the overall cost and increasing the reliability of the service. The focus of this study has been to investigate the optimum configuration of a hybrid system which can supply electricity to a rural community in Sri Lanka. A rural village from the Siyambalanduwa region in Sri Lanka inhabiting approximately 150 households resulting approximate daily electric…
Method for size optimisation of large wind–hydrogen systems with high penetration on power grids
2013
Wind power generation is growing rapidly in many locations around the world. Power systems are able to absorb large amounts of wind capacity, but operational problems arise when the wind power penetration becomes high. Such factors as voltage dips, frequency variations, low power system stability, low reactive power and power flow imbalances reduce the economic value and represent a barrier to the unlimited development of wind energy. Hydrogen production from wind power that is not matched with hourly electricity demand appears to be an attractive storage option capable of providing a balancing service to the electricity generators and suppliers for mitigation of the negative impacts due to…